Triple

T10062924
Position Surface form Disambiguated ID Type / Status
Subject South Kalimantan E213030 entity
Predicate hasTouristAttraction P530 FINISHED
Object Loksado
Loksado is a rural highland area in South Kalimantan, Indonesia, known for its traditional Dayak culture, rainforest scenery, and bamboo rafting along clear mountain rivers.
 E839534 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Loksado | Statement: [South Kalimantan, hasTouristAttraction, Loksado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loksado
Context triple: [South Kalimantan, hasTouristAttraction, Loksado]
  • A. Lakon
    Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
  • B. Lukhumi
    Lukhumi is a locality in Georgia’s mountainous Racha region, known for its scenic landscapes and traditional rural character.
  • C. Lokasenna
    Lokasenna is an Old Norse mythological poem in which the trickster god Loki insults and exposes the secrets of the other gods during a feast.
  • D. Lodoselo
    Lodoselo is a small village in the municipality of Sarreaus, in the province of Ourense, Galicia, Spain.
  • E. Yalama
    Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Loksado
Triple: [South Kalimantan, hasTouristAttraction, Loksado]
Generated description
Loksado is a rural highland area in South Kalimantan, Indonesia, known for its traditional Dayak culture, rainforest scenery, and bamboo rafting along clear mountain rivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loksado
Target entity description: Loksado is a rural highland area in South Kalimantan, Indonesia, known for its traditional Dayak culture, rainforest scenery, and bamboo rafting along clear mountain rivers.
  • A. Lakon
    Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
  • B. Lukhumi
    Lukhumi is a locality in Georgia’s mountainous Racha region, known for its scenic landscapes and traditional rural character.
  • C. Lokasenna
    Lokasenna is an Old Norse mythological poem in which the trickster god Loki insults and exposes the secrets of the other gods during a feast.
  • D. Lodoselo
    Lodoselo is a small village in the municipality of Sarreaus, in the province of Ourense, Galicia, Spain.
  • E. Yalama
    Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd4e4ac8190a37061b4082caa48 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a7bd56c8190a6c43df26db880f4 completed April 5, 2026, 5:23 p.m.
NEDg Description generation batch_69d29b75634c819088c8ef750b1691d2 completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29f5007f88190b0330d1a8c551905 completed April 5, 2026, 5:43 p.m.
Created at: March 30, 2026, 8:58 p.m.